environment. The 3-D Global Spatial Data Model: Foundation of the Spatial Data Infrastructure offers a new model for handling digital spatial data, the global spatial data model or GSDM.
This book is written for the students and practitioners who are looking for a single introductory Excel-based resource that covers three essential business and analytical skillsâ€”Data Analysis
, and personalized smart devices.
Spatial Data on the Web links these two research streams, focusing on the modeling and management of spatial data in distributed systems. Belussi and his coeditors have
in the book, just in case, I suppose. If you'd like more specific data mining knowledge, look elsewhere.
Survey, not how-to
The subtitle advertises `concepts, models, methods
Fuzzy Modeling and Genetic Algorithms for Data Mining and Exploration is a handbook for analysts, engineers, and managers involved in developing data mining models in business and government
to capture the information needs of a business system in a relational database model, but don't know where to start, then this is the book for you.
Beginning Relational Data Modeling
Market Models provides an authoritative and up-to-date treatment of the use of market data to develop models for financial analysis. Written by a leading figure in the field of financial data
This book covers fundamental aspects of spatial data modelling specifically on the aspect of three-dimensional (3D) modelling and structuring. Realisation of ?true? 3D GIS spatial system needs
foundations are therefore still developing and data quality and uncertainty modeling for spatial data and spatial analysis is an important branch of that theory. Principles of Modeling Uncertainties in Spatial
. The book is divided into three principal sections. The first section includes recent developments in regional and global ground-motion predictive models.
It presents discussions